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Record W4387335440 · doi:10.1016/j.jaci.2023.09.032

Interim analysis: Open-label extension study of leniolisib for patients with APDS

2023· article· en· W4387335440 on OpenAlexfundno aff
V. Koneti Rao, Elaine Kulm, Anna Šedivá, Alessandro Plebani, Catharina Schuetz, Anna Shcherbina, Virgil A. S. H. Dalm, Antonino Trizzino, Yulia Zharankova, Sharon Webster, Alanvin Orpia, Julia Körholz, Vassilios Lougaris, Yulia Rodina, Kath Radford, Jason Bradt, Anurag Relan, Steven M. Holland, Michael J. Lenardo, Gulbu Uzel

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
FundersChildren's Hospital of PittsburghNational Institute of Allergy and Infectious DiseasesIrving Medical Center, Columbia UniversityWalter Reed National Military Medical CenterNovartis PharmaLeonard M. Miller School of MedicineQatar UniversityMedical Center, University of PittsburghKing Faisal Specialist Hospital and Research CentreUniversity of PittsburghLeidosUniversity of AlabamaPerelman School of Medicine, University of PennsylvaniaVanderbilt University Medical CenterUniversity of Arkansas for Medical SciencesUniversity of Alabama at BirminghamAstraZenecaUniversity of CincinnatiCincinnati Children's Hospital Medical CenterHamad Medical CorporationRoy J. and Lucille A. Carver College of Medicine, University of IowaCollege of Medicine, University of CincinnatiTexas Children's HospitalDivision of Intramural Research, National Institute of Allergy and Infectious DiseasesCSL BehringPfizerUniversity of MiamiAlberta Health ServicesNHLBI Division of Intramural ResearchUniversity of PennsylvaniaVanderbilt UniversityNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMedicineInternal medicineAdverse effectInterim analysisClinical endpointPlaceboImmunologyImmune dysregulationImmune systemGastroenterologyPediatricsClinical trialPathology

Abstract

fetched live from OpenAlex

BackgroundActivated phosphoinositide 3-kinase delta (PI3Kδ) syndrome (APDS; or p110δ-activating mutations causing senescent T cells, lymphadenopathy, and immunodeficiency) is an inborn error of immunity caused by PI3Kδ hyperactivity. Resultant immune deficiency and dysregulation lead to recurrent sinopulmonary infections, herpes viremia, autoimmunity, and lymphoproliferation.ObjectiveLeniolisib, a selective PI3Kδ inhibitor, demonstrated favorable impact on immune cell subsets and lymphoproliferation over placebo in patients with APDS over 12 weeks. Here, we report results from an interim analysis of an ongoing open-label, single-arm extension study.MethodsPatients with APDS aged 12 years or older who completed NCT02435173 or had previous exposure to PI3Kδ inhibitors were eligible. The primary end point was safety, assessed via investigator-reported adverse events (AEs) and clinical/laboratory evaluations. Secondary and exploratory end points included health-related quality of life, inflammatory markers, frequency of infections, and lymphoproliferation.ResultsBetween September 2016 and August 2021, 37 patients (median age, 20 years; 42.3% female) were enrolled. Of these 37 patients, 26, 9, and 2 patients had previously received leniolisib, placebo, or other PI3Kδ inhibitors, respectively. At the data cutoff date (December 13, 2021), median leniolisib exposure was 102 weeks. Overall, 32 patients (87%) experienced an AE. Most AEs were grades 1 to 3; none were grade 4. One patient with severe baseline comorbidities experienced a grade 5 AE, determined as unrelated to leniolisib treatment. While on leniolisib, patients had reduced annualized infection rates (P = .004), and reductions in immunoglobulin replacement therapy occurred in 10 of 27 patients. Other observations include reduced lymphadenopathy and splenomegaly, improved cytopenias, and normalized lymphocyte subsets.ConclusionsLeniolisib was well tolerated and maintained durable outcomes with up to 5 years of exposure in 37 patients with APDS. ClinicalTrials.gov identifier: NCT02859727. Activated phosphoinositide 3-kinase delta (PI3Kδ) syndrome (APDS; or p110δ-activating mutations causing senescent T cells, lymphadenopathy, and immunodeficiency) is an inborn error of immunity caused by PI3Kδ hyperactivity. Resultant immune deficiency and dysregulation lead to recurrent sinopulmonary infections, herpes viremia, autoimmunity, and lymphoproliferation. Leniolisib, a selective PI3Kδ inhibitor, demonstrated favorable impact on immune cell subsets and lymphoproliferation over placebo in patients with APDS over 12 weeks. Here, we report results from an interim analysis of an ongoing open-label, single-arm extension study. Patients with APDS aged 12 years or older who completed NCT02435173 or had previous exposure to PI3Kδ inhibitors were eligible. The primary end point was safety, assessed via investigator-reported adverse events (AEs) and clinical/laboratory evaluations. Secondary and exploratory end points included health-related quality of life, inflammatory markers, frequency of infections, and lymphoproliferation. Between September 2016 and August 2021, 37 patients (median age, 20 years; 42.3% female) were enrolled. Of these 37 patients, 26, 9, and 2 patients had previously received leniolisib, placebo, or other PI3Kδ inhibitors, respectively. At the data cutoff date (December 13, 2021), median leniolisib exposure was 102 weeks. Overall, 32 patients (87%) experienced an AE. Most AEs were grades 1 to 3; none were grade 4. One patient with severe baseline comorbidities experienced a grade 5 AE, determined as unrelated to leniolisib treatment. While on leniolisib, patients had reduced annualized infection rates (P = .004), and reductions in immunoglobulin replacement therapy occurred in 10 of 27 patients. Other observations include reduced lymphadenopathy and splenomegaly, improved cytopenias, and normalized lymphocyte subsets. Leniolisib was well tolerated and maintained durable outcomes with up to 5 years of exposure in 37 patients with APDS. ClinicalTrials.gov identifier: NCT02859727.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.356
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations40
Published2023
Admission routes1
Has abstractyes

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